Methods and systems for using artificial intelligence to analyze user activity data

Abstract

A system for using artificial intelligence to select a recommended compatible element. The system includes at least a server, wherein the at least a server is designed and configured to receive training data. The at least a server is configured to receive from a user at least a biological extraction and at least a user activity datum. The at least a server is configured to retrieve from a fingerprint database at least a datum of user fingerprint information. The at least a server is configured to classify the at least a user activity datum as a function of the at least a datum of user fingerprint information. The at least a server is configured to select at least a compatible element as a function of the at least a user activity datum and the training data. The at least a server is configured to transmit the at least a compatible element to a user client device.

What is claimed is: 
     
       1. A system for using artificial intelligence to analyze user activity data, the system comprising:
 at least a server, wherein the at least a server is designed and configured to: 
 receive training data, wherein receiving training data further comprises receiving a training set including a plurality of first data entries, each first data entry of the plurality of first data entries including at least an element of physiological state data and at least a correlated compatible label; 
 receive from a user, at least a biological extraction and at least a user activity datum, said biological extraction including data related to a physiological state of a user; 
 generate a diagnostic output as a function of the physiological state of the user, wherein the diagnostic output comprises a condition of the user associated with an ingredient having an adverse effect on the condition of the user; 
 retrieve from a fingerprint database, at least a datum of user fingerprint information; 
 classify the at least a user activity datum as a function of the at least a datum of user fingerprint information wherein classifying the at least a user activity datum comprises identifying a category of the at least a user activity datum; 
 select at least a compatible element as a function of the training data, the category of at least a user activity datum, and the condition of the user; 
 rank the selected at least a compatible element within a plurality of compatible elements as a function of a respective presence of the ingredient having an adverse effect on the condition of the user within each of the plurality of compatible elements; and 
 transmit the ranked plurality of compatible elements to a user client device. 
 
     
     
       2. The system of  claim 1 , wherein the at least a server further comprises:
 a parsing module configured to extract at least an element from the at least a user activity datum wherein the at least an element further comprises at least a compatible element neutralizer; and 
 retrieve at least a datum of user fingerprint information as a function of the at least an element. 
 
     
     
       3. The system of  claim 1 , wherein the at least a server is further configured to receive at least a user activity datum and retrieve from a behavior database at least a datum of user behavior data. 
     
     
       4. The system of  claim 1 , wherein the at least a server is further configured to classify the at least a user activity datum by matching the at least a datum of user fingerprint information to at least a datum of previous user activity. 
     
     
       5. The system of  claim 1 , wherein the at least a server is further configured to classify the at least a user activity datum as a function of receiving at least a datum of modified user activity. 
     
     
       6. The system of  claim 1 , wherein the at least a server is further configured to select at least a compatible element using a machine-learning algorithm and the training data. 
     
     
       7. The system of  claim 1 , wherein the at least a server is further configured to select at least a compatible element by:
 retrieving at least a compatible element similarity index value from a database; and 
 selecting at least a compatible element as a function of the compatible element similarity index value. 
 
     
     
       8. The system of  claim 1 , wherein the at least a server is further configured to store the at least a user activity datum in the fingerprint database. 
     
     
       9. A method of using artificial intelligence to analyze user activity data, the method comprising:
 receiving by at least a server training data, wherein receiving training data further comprises receiving a training set including a plurality of first data entries, each first data entry of the plurality of first data entries including at least an element of physiological state data and at least a correlated compatible label; 
 receiving by the at least a server at least a biological extraction and at least a user activity datum from a user, said biological extraction including data related to a physiological state of the user; 
 generating a diagnostic output as a function of the training data and the physiological state of the user; 
 retrieving by the at least a server at least a datum of user fingerprint information from a fingerprint database; 
 classifying by the at least a server the at least a user activity datum as a function of the at least a datum of user fingerprint information; 
 selecting by the at least a server at least a compatible element as a function of the at least a user activity datum and the diagnostic output; and 
 transmitting by the at least a server the at least a compatible element to a user client device. 
 
     
     
       10. The method of  claim 9 , wherein receiving at least a user activity datum further comprises:
 extracting at least an element from the at least a user activity datum wherein the at least an element further comprises at least a compatible element neutralizer; and 
 retrieving at least a datum of user fingerprint information as a function of the at least an element. 
 
     
     
       11. The method of  claim 9 , wherein receiving at least a user activity datum further comprises retrieving from a behavior database at least a datum of user behavior data. 
     
     
       12. The method of  claim 9 , wherein classifying the at least a user activity datum further comprises matching the at least a datum of user fingerprint information to at least a datum of previous user activity. 
     
     
       13. The method of  claim 9 , wherein classifying the at least a user activity datum further comprises classifying the at least a user activity datum as a function of receiving at least a datum of modified user activity. 
     
     
       14. The method of  claim 9 , wherein selecting at least a compatible element further comprises using a machine-learning algorithm and the training data. 
     
     
       15. The method of  claim 9 , wherein selecting at least a compatible element further comprises:
 retrieving at least a compatible element similarity index value from a database; and 
 selecting at least a compatible element as a function of the compatible element similarity index value. 
 
     
     
       16. The method of  claim 9  further comprising storing the at least a user activity datum in the fingerprint database.